Software Engineering Manager, Embedded Software

Google Google · Big Tech · New Taipei, Banqiao District, New Taipei City, Taiwan

Software Engineering Manager for Embedded Software at Google, focusing on managing a team to deliver software drivers and tools for custom silicon validation and productization. The role involves technical leadership, people management, setting team priorities, driving project success, and reviewing code. Experience in embedded systems, device drivers, and hardware/software integration is required.

What you'd actually do

  1. Manage a team of developers to deliver software drivers and tools for silicon validation and productization of Google custom silicon; Manage team project goals, contribute to product strategy and help develop your team.
  2. Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
  3. Set clear expectations with individuals based on their level and role, meet regularly with individuals to discuss performance and development and provide feedback and coaching.
  4. Drive project success by setting the technical goal and roadmap. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  5. Initiate new directions to improve the whole working environment, like better testing, debugging and effective automation.

Skills

Required

  • software development in Embedded domain
  • data structures
  • algorithms
  • software design
  • technical leadership
  • people management
  • designing, developing, and testing embedded software drivers
  • embedded systems development
  • device drivers
  • hardware/software integration

Nice to have

  • power management
  • clock management
  • communication
  • interrupt handling
  • synchronization
  • memory management
  • scheduling
  • ARM
  • RISC-V
  • low-power SoC architectures
  • memory system
  • fabric
  • working with hardware designers
  • reading schematics
  • working with AI tools to enhance the workflow